| Question 1: A conservative observer/system will have:
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| Reference: | Metz CE. Receiver operating characteristic analysis: a tool for the quantitative evaluation of observer performance and imaging systems. JACR 2006;3:413-422. |
| Choice A: | High true positive and high false positive rate. |
| Choice B: | High true positive and low false positive rate. |
| Choice C: | Low true positive and low false positive rate. |
| Choice D: | Low true positive and high false positive rate. |
| Question 2: Which of the following does not require target localization?
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| Reference: | Mansson LG. Methods for the evaluation of image quality. Radiat Prot Dosimetry 2000;90:89-99. |
| Choice A: | AFROC. |
| Choice B: | FROC. |
| Choice C: | LROC. |
| Choice D: | ROC. |
| Question 3: To generate an ROC curve, the data in question must be compared to:
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| Reference: | Rosner, Bernard. Fundamentals of Biostatistics. Boston: Brooks/Cole, Cengage Learning, 2011. Print. |
| Choice A: | A gold standard. |
| Choice B: | Probability distribution function. |
| Choice C: | True negatives. |
| Choice D: | Clinical experience. |
| Question 4: If the class distributions of your data are highly skewed (e.g. many more passing cases than failing cases) your ROC curve will: |
| Reference: | Fawcett, Tom. "An introduction to ROC analysis." Pattern recognition letters27.8 (2006): 861-874.
|
| Choice A: | Shift up. |
| Choice B: | Shift right. |
| Choice C: | Stay the same. |
| Choice D: | Shift down. |
| Question 5: What is the goal of using the ROC approach with patient specific QA:
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| Reference: | Carlone, M., Cruje, C., Rangel, a, McCabe, R., Nielsen, M., & Macpherson, M. (2013). ROC analysis in patient specific quality assurance. Med Phys, 40(4), 42103. http://doi.org/10.1118/1.4795757.
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| Choice A: | Assess the capability of a given QA system to detect certain type of errors. |
| Choice B: | Evaluate the clinical impact of a given gamma pass rate. |
| Choice C: | Provide a new QA method that does not depend on gamma analysis. |
| Choice D: | Address the increased used of flattening-filter-free radiotherapy delivery . |
| Question 6: ROC analysis comes from signal detection theory. When applied to patient specific QA, what constitute the signal that needs to be detected?
|
| Reference: | Guillot, M., Gingras, L., Archambault, L., Beddar, S., & Beaulieu, L. (2013). Performance assessment of a 2D array of plastic scintillation detectors for IMRT quality assurance. Physics in Medicine and Biology, 58(13), 4439–4454.
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| Choice A: | The patient plan. |
| Choice B: | The measured dose delivery. |
| Choice C: | The error between the planned dose distribution and measured delivery. |
| Choice D: | The probability of an erroneous MLC motion. |
